The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-07-26"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "16252541 (up from 16046986 yesterday: 1.28 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "648637 (up from 644528 yesterday: 0.64 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 4802834

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 3.99



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 4233923 55902 1.34 1345288 146935 475 0.32 3.47
Brazil 2419091 24578 1.03 816036 87004 555 0.64 3.60
India 1435616 49981 3.61 738203 32771 711 2.22 2.28
Russia 811073 5741 0.71 130790 13249 77 0.58 1.63
South Africa 445433 11233 2.59 248683 6769 114 1.71 1.52
Mexico 390516 5480 1.42 133668 43680 1035 2.43 11.19
Peru 375961 0 0.00 73243 17843 0 0.00 4.75
Chile 345790 2198 0.64 50258 9112 92 1.02 2.64
United Kingdom 301020 750 0.25 14089 45837 14 0.03 15.23
Iran 291172 2333 0.81 50734 15700 216 1.39 5.39
Pakistan 273113 0 0.00 41295 5822 0 0.00 2.13
Spain 272421 0 0.00 21876 28432 0 0.00 10.44
Saudi Arabia 266941 1968 0.74 57432 2733 30 1.11 1.02
Italy 246118 254 0.10 4507 35107 5 0.01 14.26
Colombia 240795 0 0.00 127110 8269 0 0.00 3.43
Turkey 226100 927 0.41 20342 5613 17 0.30 2.48
Bangladesh 223453 2275 1.03 61036 2928 54 1.88 1.31
France 217801 0 0.00 13579 30195 0 0.00 13.86
Germany 206667 389 0.19 9144 9124 0 0.00 4.41
Argentina 162526 4192 2.65 84711 2939 46 1.59 1.81
Canada 115789 319 0.28 8395 8934 5 0.06 7.72
Iraq 110032 2459 2.29 49553 4362 78 1.82 3.96
Qatar 109305 269 0.25 9506 165 1 0.61 0.15
Indonesia 98778 1492 1.53 35029 4781 67 1.42 4.84
Egypt 92062 479 0.52 16809 4606 48 1.05 5.00
China 86570 189 0.22 1699 4652 0 0.00 5.37
Kazakhstan 83122 1402 1.72 34548 585 0 0.00 0.70
Ecuador 80694 658 0.82 18736 5515 8 0.15 6.83
Philippines 80448 2036 2.60 36194 1932 35 1.85 2.40
Sweden 78997 0 0.00 7578 5697 0 0.00 7.21
Oman 76005 1147 1.53 29827 384 13 3.50 0.51
Bolivia 69429 1148 1.68 30132 2583 48 1.89 3.72
Belarus 67132 130 0.19 3578 534 4 0.75 0.80
Ukraine 66261 944 1.45 16793 1625 15 0.93 2.45
Belgium 66026 299 0.45 4010 9821 0 0.00 14.87
Kuwait 63773 464 0.73 13832 433 4 0.93 0.68
Dominican Republic 62908 2012 3.30 25483 1063 8 0.76 1.69
Israel 61956 1278 2.11 31998 470 13 2.84 0.76
Panama 60296 1432 2.43 22147 1294 19 1.49 2.15
United Arab Emirates 58913 351 0.60 7373 344 1 0.29 0.58
Netherlands 53005 21 0.04 2171 6159 0 0.00 11.62
Singapore 50369 481 0.96 5569 27 0 0.00 0.05
Portugal 50164 209 0.42 6267 1717 1 0.06 3.42
Guatemala 45053 561 1.26 21805 1734 35 2.06 3.85
Romania 44798 1120 2.56 15825 2187 22 1.02 4.88
Poland 43065 443 1.04 7115 1671 7 0.42 3.88
Nigeria 40532 555 1.39 11821 858 2 0.23 2.12
Honduras 39276 838 2.18 15333 1116 18 1.64 2.84
Bahrain 39131 384 0.99 9764 140 3 2.19 0.36
Armenia 37317 321 0.87 8711 705 5 0.71 1.89
Afghanistan 36157 121 0.34 3206 1259 11 0.88 3.48
Switzerland 34412 110 0.32 2144 1977 0 0.00 5.75
Ghana 32969 1118 3.51 12884 168 7 4.35 0.51
Kyrgyzstan 32813 689 2.14 25436 1277 28 2.24 3.89
Japan 30548 864 2.91 10880 998 2 0.20 3.27
Azerbaijan 30050 417 1.41 9726 417 9 2.21 1.39
Algeria 27357 593 2.22 11416 1155 9 0.79 4.22
Ireland 25881 12 0.05 354 1764 0 0.00 6.82
Serbia 23730 878 3.84 7599 534 16 3.09 2.25
Moldova 23034 206 0.90 5220 735 3 0.41 3.19
Uzbekistan 20531 579 2.90 10511 116 5 4.50 0.56
Austria 20472 134 0.66 2192 712 0 0.00 3.48
Morocco 20278 633 3.22 6063 313 8 2.62 1.54
Nepal 18613 130 0.70 2829 45 0 0.00 0.24
Kenya 17603 960 5.77 9717 280 2 0.72 1.59
Cameroon 16708 0 0.00 4116 385 0 0.00 2.30
Cote d’Ivoire 15596 102 0.66 4824 96 2 2.13 0.62
Venezuela 15463 534 3.58 8294 142 4 2.90 0.92
Czechia 15324 112 0.74 2809 371 2 0.54 2.42
Costa Rica 15229 629 4.31 10233 104 6 6.12 0.68
Australia 14935 532 3.69 6352 161 6 3.87 1.08
El Salvador 14630 409 2.88 6853 400 10 2.56 2.73
Korea, South 14175 25 0.18 1038 299 1 0.34 2.11
Ethiopia 13968 720 5.43 8122 223 14 6.70 1.60
Denmark 13665 22 0.16 632 613 0 0.00 4.49
Sudan 11385 0 0.00 1618 717 0 0.00 6.30
West Bank and Gaza 10469 163 1.58 6192 76 1 1.33 0.73
Bulgaria 10427 115 1.12 4687 340 2 0.59 3.26
North Macedonia 10086 152 1.53 3040 460 0 0.00 4.56

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 452288 5836 1.31 187607 8448 40 0.48 1.87 11446.79 213.81 1 in 87
Florida 423855 9344 2.25 223744 5854 77 1.33 1.38 19734.62 272.56 1 in 51
New York 411736 536 0.13 14605 32630 22 0.07 7.92 21165.07 1677.33 1 in 47
Texas 394084 3798 0.97 199152 5076 86 1.72 1.29 13591.03 175.06 1 in 74
New Jersey 179363 505 0.28 5961 15787 11 0.07 8.80 20193.56 1777.38 1 in 50
Illinois 172663 1541 0.90 25412 7590 1 0.01 4.40 13625.74 598.97 1 in 73
Georgia 167953 2765 1.67 72437 3498 4 0.11 2.08 15818.62 329.46 1 in 63
Arizona 162014 1973 1.23 63911 3305 19 0.58 2.04 21275.94 434.02 1 in 47
Massachusetts 115637 369 0.32 5663 8529 19 0.22 7.38 16639.61 1227.28 1 in 60
North Carolina 112937 1516 1.36 39945 1817 6 0.33 1.61 10768.13 173.24 1 in 93
Pennsylvania 111745 630 0.57 17342 7127 3 0.04 6.38 8728.72 556.71 1 in 115
Louisiana 107574 3840 3.70 42348 3763 48 1.29 3.50 23140.20 809.46 1 in 43
Tennessee 93936 3140 3.46 42620 967 3 0.31 1.03 13747.05 141.52 1 in 73
Michigan 86661 1039 1.21 13720 6400 0 0.00 7.39 8677.50 640.84 1 in 115
Virginia 84567 958 1.15 18819 2078 3 0.14 2.46 9907.66 243.45 1 in 101
Ohio 84073 889 1.07 26923 3307 10 0.30 3.93 7192.43 282.91 1 in 139
Maryland 83748 694 0.84 14116 3440 7 0.20 4.11 13852.54 569.00 1 in 72
South Carolina 81199 1191 1.49 36352 1491 26 1.77 1.84 15770.73 289.59 1 in 63
Alabama 79294 1164 1.49 35341 1473 17 1.17 1.86 16171.94 300.42 1 in 62
Indiana 62372 852 1.38 14171 2903 8 0.28 4.65 9264.70 431.21 1 in 108
Washington 52635 786 1.52 16737 1501 7 0.47 2.85 6912.11 197.11 1 in 145
Mississippi 52154 1173 2.30 21254 1493 15 1.01 2.86 17523.99 501.65 1 in 57
Minnesota 51153 862 1.71 13017 1614 3 0.19 3.16 9070.27 286.19 1 in 110
Wisconsin 48827 957 2.00 17250 892 1 0.11 1.83 8386.01 153.20 1 in 119
Connecticut 48776 0 0.00 2059 4413 0 0.00 9.05 13680.81 1237.77 1 in 73
Colorado 44318 547 1.25 10270 1794 0 0.00 4.05 7695.79 311.53 1 in 130
Nevada 42843 1027 2.46 20425 734 2 0.27 1.71 13909.36 238.30 1 in 72
Iowa 42357 471 1.12 10840 829 3 0.36 1.96 13425.06 262.75 1 in 74
Missouri 42160 1126 2.74 18344 1209 9 0.75 2.87 6869.33 196.99 1 in 146
Arkansas 38623 642 1.69 14809 401 2 0.50 1.04 12798.29 132.88 1 in 78
Utah 37973 350 0.93 13021 274 0 0.00 0.72 11844.51 85.47 1 in 84
Oklahoma 31285 1204 4.00 15354 496 0 0.00 1.59 7906.30 125.35 1 in 126
Kentucky 27082 318 1.19 10706 700 4 0.57 2.58 6061.77 156.68 1 in 165
Kansas 25290 281 1.12 9209 331 2 0.61 1.31 8680.84 113.62 1 in 115
Nebraska 24618 223 0.91 4689 316 0 0.00 1.28 12726.37 163.36 1 in 79
New Mexico 19042 254 1.35 5786 614 7 1.15 3.22 9081.33 292.82 1 in 110
Rhode Island 18224 0 0.00 1233 1002 0 0.00 5.50 17202.82 945.85 1 in 58
Idaho 18178 913 5.29 10445 146 2 1.39 0.80 10143.61 81.47 1 in 99
Oregon 16758 654 4.06 6528 289 7 2.48 1.72 3973.22 68.52 1 in 252
Puerto Rico 15143 603 4.15 7227 201 0 0.00 1.33 4741.53 62.94 1 in 211
Delaware 14290 115 0.81 2162 579 0 0.00 4.05 14675.01 594.60 1 in 68
District of Columbia 11780 63 0.54 1298 581 0 0.00 4.93 16691.49 823.24 1 in 60
South Dakota 8395 90 1.08 1332 123 1 0.82 1.47 9489.53 139.04 1 in 105
New Hampshire 6436 21 0.33 539 409 0 0.00 6.35 4733.36 300.80 1 in 211
West Virginia 5889 114 1.97 2627 103 0 0.00 1.75 3295.20 57.63 1 in 303
North Dakota 5876 140 2.44 2060 99 0 0.00 1.68 7710.66 129.91 1 in 130
Maine 3814 24 0.63 399 119 0 0.00 3.12 2837.35 88.53 1 in 352
Montana 3341 82 2.52 2129 46 0 0.00 1.38 3126.00 43.04 1 in 320
Alaska 2525 186 7.95 1391 20 0 0.00 0.79 3451.60 27.34 1 in 290
Wyoming 2475 29 1.19 841 25 0 0.00 1.01 4276.39 43.20 1 in 234
Hawaii 1683 63 3.89 660 26 0 0.00 1.54 1188.67 18.36 1 in 841
Vermont 1400 4 0.29 151 56 0 0.00 4.00 2243.63 89.75 1 in 446

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 7168139 452288 6.31 2488001 187607 7.54 181415.74
2 Florida 3386503 423855 12.52 1186304 223744 18.86 157675.04
3 New York 5569879 411736 7.39 1336076 14605 1.09 286316.68
4 Texas 3369975 394084 11.69 1236518 199152 16.11 116222.54
5 New Jersey 1953289 179363 9.18 418649 5961 1.42 219910.74
6 Illinois 2512809 172663 6.87 749981 25412 3.39 198298.97
7 Georgia 1428945 167953 11.75 479760 72437 15.10 134584.92
8 Arizona 867103 162014 18.68 262741 63911 24.32 113869.36
9 Massachusetts 1120759 115637 10.32 229074 5663 2.47 161271.82
10 North Carolina 1613385 112937 7.00 576547 39945 6.93 153830.29
11 Pennsylvania 1136201 111745 9.83 311501 17342 5.57 88751.91
12 Louisiana 1233264 107574 8.72 430810 42348 9.83 265286.87
13 Tennessee 1382852 93936 6.79 486686 42620 8.76 202373.30
14 Michigan 1670744 86661 5.19 523925 13720 2.62 167294.27
15 Virginia 1028240 84567 8.22 318885 18819 5.90 120466.02
16 Ohio 1326431 84073 6.34 457669 26923 5.88 113475.89
17 Maryland 838572 83748 9.99 258610 14116 5.46 138705.99
18 South Carolina 647813 81199 12.53 217004 36352 16.75 125820.35
19 Alabama 649686 79294 12.20 199800 35341 17.69 132502.85
20 Indiana 701311 62372 8.89 179589 14171 7.89 104172.34
21 Washington 903674 52635 5.82 296398 16737 5.65 118671.92
22 Mississippi 423093 52154 12.33 112952 21254 18.82 142161.23
23 Minnesota 957374 51153 5.34 283359 13017 4.59 169758.24
24 Wisconsin 870229 48827 5.61 251378 17250 6.86 149461.38
25 Connecticut 713072 48776 6.84 213403 2059 0.96 200004.10
26 Colorado 490396 44318 9.04 139679 10270 7.35 85156.88
27 Nevada 438931 42843 9.76 131234 20425 15.56 142502.85
28 Iowa 450599 42357 9.40 118127 10840 9.18 142817.43
29 Missouri 626951 42160 6.72 207442 18344 8.84 102152.07
30 Arkansas 477267 38623 8.09 138374 14809 10.70 158149.33
31 Utah 505351 37973 7.51 134043 13021 9.71 157628.70
32 Oklahoma 566913 31285 5.52 202196 15354 7.59 143269.44
33 Kentucky 541898 27082 5.00 146251 10706 7.32 121293.12
34 Kansas 277967 25290 9.10 86406 9209 10.66 95412.65
35 Nebraska 255464 24618 9.64 65536 4689 7.15 132063.14
36 New Mexico 512425 19042 3.72 140137 5786 4.13 244380.92
37 Rhode Island 190028 18224 9.59 -60926 1233 -2.02 179379.83
38 Idaho 166224 18178 10.94 61958 10445 16.86 92755.56
39 Oregon 378475 16758 4.43 114274 6528 5.71 89734.14
41 Delaware 169993 14290 8.41 46052 2162 4.69 174573.10
42 District of Columbia 171598 11780 6.86 65605 1298 1.98 243143.10
43 South Dakota 106926 8395 7.85 22923 1332 5.81 120866.91
44 New Hampshire 153609 6436 4.19 29860 539 1.81 112971.80
45 West Virginia 261726 5889 2.25 76905 2627 3.42 146449.06
46 North Dakota 146479 5876 4.01 33351 2060 6.18 192214.02
47 Maine 155318 3814 2.46 47386 399 0.84 115545.76
48 Montana 152315 3341 2.19 52209 2129 4.08 142513.23
49 Alaska 207264 2525 1.22 84532 1391 1.65 283323.65
50 Wyoming 48298 2475 5.12 12971 841 6.48 83450.97
51 Hawaii 114052 1683 1.48 29727 660 2.22 80552.48
52 Vermont 89809 1400 1.56 19785 151 0.76 143927.22

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 383723 7924 2.11 221944 57.84 147592 13883 227 1.66 3.62
Tamil Nadu 220716 6993 3.27 162249 73.51 54896 3571 77 2.20 1.62
Delhi 131219 613 0.47 116372 88.69 10994 3853 26 0.68 2.94
Andhra Pradesh 102349 6051 6.28 49558 48.42 51701 1090 49 4.71 1.06
Karnataka 101465 5324 5.54 37685 37.14 61818 1953 75 3.99 1.92
Uttar Pradesh 70493 3505 5.23 42833 60.76 26204 1456 30 2.10 2.07
West Bengal 60830 2112 3.60 39917 65.62 19502 1411 39 2.84 2.32
Gujarat 56874 1052 1.88 41482 72.94 13048 2344 22 0.95 4.12
Telangana 55532 1473 2.72 42106 75.82 12955 471 8 1.73 0.85
Bihar 41111 2192 5.63 27844 67.73 13011 255 6 2.41 0.62
Rajasthan 37564 1134 3.11 26934 71.70 9997 633 9 1.44 1.69
Assam 33577 2490 8.01 25403 75.66 8085 86 7 8.86 0.26
Haryana 32127 795 2.54 25046 77.96 6684 397 5 1.28 1.24
Madhya Pradesh 28589 789 2.84 19791 69.23 7978 820 9 1.11 2.87
Odisha 26892 1503 5.92 17374 64.61 9337 181 7 4.02 0.67
Kerala 19728 702 3.69 10045 50.92 9609 64 2 3.23 0.32
Jammu and Kashmir 18390 470 2.62 10402 56.56 7667 321 9 2.88 1.75
Punjab 13769 551 4.17 9064 65.83 4387 318 12 3.92 2.31
Jharkhand 8803 911 11.54 3805 43.22 4908 90 7 8.43 1.02
Chhattisgarh 7980 491 6.56 5172 64.81 2763 45 2 4.65 0.56
Uttarakhand 6328 367 6.16 3675 58.08 2549 66 3 4.76 1.04
Goa 5119 258 5.31 3410 66.61 1673 36 1 2.86 0.70
Tripura 4066 184 4.74 2455 60.38 1580 13 2 18.18 0.32
Puducherry 2872 85 3.05 1721 59.92 1108 43 3 7.50 1.50
Manipur 2286 51 2.28 1559 68.20 727 0 0 NaN 0.00
Himachal Pradesh 2270 134 6.27 1216 53.57 1026 13 0 0.00 0.57
Nagaland 1385 46 3.44 569 41.08 811 5 1 25.00 0.36
Ladakh 1306 30 2.35 1066 81.62 236 4 1 33.33 0.31
Arunachal Pradesh 1239 113 10.04 574 46.33 662 3 0 0.00 0.24
Dadra and Nagar Haveli and Daman and Diu 986 43 4.56 597 60.55 376 2 0 0.00 0.20
Chandigarh 910 23 2.59 576 63.30 320 14 1 7.69 1.54
Meghalaya 738 69 10.31 186 25.20 547 5 0 0.00 0.68
Sikkim 568 11 1.97 174 30.63 380 1 0 0.00 0.18
Mizoram 361 0 0.00 193 53.46 168 0 0 NaN 0.00
Andaman and Nicobar Islands 338 20 6.29 192 56.80 144 1 1 Inf 0.30
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
State Unassigned 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 1261557 95921 74 0.08 7.60 139 13 6771 16801 17.52
Piemonte 486073 31606 12 0.04 6.50 143 5 802 4126 13.05
Emilia-Romagna 612985 29522 61 0.21 4.82 75 4 1444 4285 14.51
Veneto 1177718 19809 19 0.10 1.68 31 1 722 2064 10.42
Toscana 410136 10430 15 0.14 2.54 13 0 355 1131 10.84
Liguria 180830 10150 3 0.03 5.61 29 1 203 1566 15.43
Lazio 404785 8554 19 0.22 2.11 189 9 935 860 10.05
Marche 162553 6825 7 0.10 4.20 3 1 122 987 14.46
P.A. Trento 148540 4965 6 0.12 3.34 1 0 93 405 8.16
Campania 322997 4912 11 0.22 1.52 28 4 352 434 8.84
Puglia 229423 4589 3 0.07 2.00 15 0 78 550 11.99
Friuli Venezia Giulia 240424 3375 2 0.06 1.40 9 2 105 345 10.22
Abruzzo 127354 3359 1 0.03 2.64 13 2 112 470 13.99
Sicilia 263662 3193 14 0.44 1.21 20 2 195 283 8.86
P.A. Bolzano 101313 2698 5 0.19 2.66 7 0 92 292 10.82
Umbria 117103 1465 0 0.00 1.25 7 0 17 80 5.46
Sardegna 103086 1388 0 0.00 1.35 6 0 19 134 9.65
Calabria 116590 1247 0 0.00 1.07 3 0 79 97 7.78
Valle d’Aosta 20875 1196 0 0.00 5.73 1 0 1 146 12.21
Molise 26862 466 3 0.65 1.73 1 0 22 23 4.94
Basilicata 45706 448 0 0.00 0.98 2 0 46 28 6.25

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 58583 169 0.29 5667 1 0.02 9.67 6861.70 663.76 1 in 146
Ontario 40558 101 0.25 2806 4 0.14 6.92 2756.83 190.73 1 in 363
Alberta 10086 0 0.00 178 0 0.00 1.76 2285.44 40.33 1 in 438
British Columbia 3419 0 0.00 191 0 0.00 5.59 668.96 37.37 1 in 1495
Saskatchewan 1178 42 3.70 16 0 0.00 1.36 996.90 13.54 1 in 1003
Nova Scotia 1067 0 0.00 63 0 0.00 5.90 1091.61 64.45 1 in 916
Manitoba 394 6 1.55 7 0 0.00 1.78 286.02 5.08 1 in 3496
Newfoundland and Labrador 266 1 0.38 3 0 0.00 1.13 510.20 5.75 1 in 1960
New Brunswick 170 0 0.00 2 0 0.00 1.18 217.95 2.56 1 in 4588
Prince Edward Island 36 0 0.00 0 0 NaN 0.00 227.62 0.00 1 in 4393
Yukon 14 0 0.00 0 0 NaN 0.00 340.82 0.00 1 in 2934
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68135 4512 6.62
Hong Kong 2633 18 0.68
Guangdong 1672 8 0.48
Henan 1276 22 1.72
Zhejiang 1270 1 0.08
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 947 13 1.37
Jiangxi 932 1 0.11
Beijing 929 9 0.97
Shandong 799 7 0.88
Shanghai 741 7 0.94
Jiangsu 655 0 0.00
Sichuan 604 3 0.50
Chongqing 583 6 1.03
Fujian 366 1 0.27
Hebei 349 6 1.72
Shaanxi 323 3 0.93
Inner Mongolia 258 1 0.39
Guangxi 255 2 0.78
Xinjiang 254 3 1.18
Tianjin 204 3 1.47
Liaoning 203 2 0.99
Shanxi 201 0 0.00
Yunnan 189 2 1.06
Hainan 171 6 3.51
Gansu 167 2 1.20
Jilin 157 2 1.27
Guizhou 147 2 1.36
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 12939.86 449.07 1 in 77
Brazil 11558.01 415.69 1 in 87
India 1072.16 24.47 1 in 933
Russia 5612.96 91.69 1 in 178
South Africa 7853.19 119.34 1 in 127
Mexico 3022.57 338.08 1 in 331
Peru 11686.70 554.65 1 in 86
Chile 19157.34 504.82 1 in 52
United Kingdom 4530.70 689.90 1 in 221
Iran 3587.63 193.45 1 in 279
Pakistan 1386.36 29.55 1 in 721
Spain 5838.43 609.34 1 in 171
Saudi Arabia 8103.86 82.97 1 in 123
Italy 4069.41 580.47 1 in 246
Colombia 4907.17 168.51 1 in 204
Turkey 2797.92 69.46 1 in 357
Bangladesh NA NA 1 in NA
France 3251.25 450.74 1 in 308
Germany 2496.28 110.21 1 in 401
Argentina 3671.24 66.39 1 in 272

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 223761 23485 10.50
Los Angeles California 174017 4360 2.51
Maricopa Arizona 108677 1808 1.66
Miami-Dade Florida 104755 1388 1.32
Cook Illinois 102583 4830 4.71
Harris Texas 65344 645 0.99
Broward Florida 49350 605 1.23
Dallas Texas 46813 605 1.29
Nassau New York 42960 2193 5.10
Suffolk New York 42883 1996 4.65
Clark Nevada 36593 601 1.64
Westchester New York 35777 1443 4.03
Bexar Texas 35690 322 0.90
Orange California 34373 564 1.64
Riverside California 33467 637 1.90
Palm Beach Florida 30325 755 2.49
Philadelphia Pennsylvania 29303 1676 5.72
San Bernardino California 27992 383 1.37
Hillsborough Florida 27077 295 1.09
Orange Florida 26980 173 0.64
San Diego California 26701 533 2.00
Wayne Michigan 26084 2782 10.67
Middlesex Massachusetts 25333 1957 7.73
Tarrant Texas 25146 344 1.37
Prince George’s Maryland 21558 730 3.39
Suffolk Massachusetts 20896 1048 5.02
Bergen New Jersey 20226 2044 10.11
Duval Florida 19753 139 0.70
Travis Texas 19401 241 1.24
Hudson New Jersey 19363 1501 7.75
Essex New Jersey 19310 2103 10.89
Mecklenburg North Carolina 19268 187 0.97
Shelby Tennessee 18331 267 1.46
Milwaukee Wisconsin 18140 427 2.35
Salt Lake Utah 18090 156 0.86
Davidson Tennessee 17836 186 1.04
Middlesex New Jersey 17535 1402 8.00
Fairfield Connecticut 17421 1402 8.05
Passaic New Jersey 17312 1242 7.17
Montgomery Maryland 17020 783 4.60
Essex Massachusetts 16952 1167 6.88
Union New Jersey 16359 1345 8.22
Hennepin Minnesota 16316 807 4.95
Fulton Georgia 15843 372 2.35
Franklin Ohio 15682 489 3.12
Gwinnett Georgia 15315 216 1.41
Fairfax Virginia 15304 515 3.37
Hidalgo Texas 15153 456 3.01
Pinellas Florida 15147 373 2.46
Pima Arizona 14963 418 2.79
Kern California 14651 123 0.84
Out of GA Georgia 14477 74 0.51
King Washington 14417 644 4.47
Lee Florida 14415 258 1.79
Oakland Michigan 14035 1127 8.03
Providence Rhode Island 14033 0 0.00
Rockland New York 13839 673 4.86
Marion Indiana 13700 712 5.20
Jefferson Louisiana 13448 510 3.79
El Paso Texas 13240 224 1.69
Worcester Massachusetts 13093 980 7.48
New Haven Connecticut 12884 1095 8.50
Fresno California 12564 112 0.89
Hartford Connecticut 12340 1408 11.41
District of Columbia District of Columbia 11780 581 4.93
Cuyahoga Ohio 11697 449 3.84
Lake Illinois 11448 439 3.83
Polk Florida 11423 217 1.90
St. Louis Missouri 11210 628 5.60
DeKalb Georgia 11159 207 1.86
Orange New York 10998 489 4.45
Baltimore Maryland 10924 525 4.81
DuPage Illinois 10875 507 4.66
Charleston South Carolina 10625 135 1.27
Baltimore City Maryland 10353 400 3.86
Nueces Texas 10351 137 1.32
Alameda California 10330 178 1.72
Yuma Arizona 10289 221 2.15
Jefferson Alabama 10258 202 1.97
Ocean New Jersey 10206 1011 9.91
San Joaquin California 10126 110 1.09
Cobb Georgia 10120 287 2.84
Wake North Carolina 9991 108 1.08
Norfolk Massachusetts 9971 977 9.80
Orleans Louisiana 9898 552 5.58
Monmouth New Jersey 9857 854 8.66
East Baton Rouge Louisiana 9636 306 3.18
Yakima Washington 9629 194 2.01
Douglas Nebraska 9558 120 1.26
Montgomery Pennsylvania 9492 844 8.89
Greenville South Carolina 9361 157 1.68
Denver Colorado 9205 405 4.40
Polk Iowa 9080 191 2.10
Imperial California 9067 181 2.00
Santa Clara California 9041 184 2.04
Plymouth Massachusetts 8985 704 7.84
Sacramento California 8903 108 1.21
Macomb Michigan 8891 936 10.53
Bristol Massachusetts 8882 617 6.95
Collier Florida 8795 117 1.33

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc